Overview

Brought to you by YData

Dataset statistics

Number of variables	35
Number of observations	39066
Missing cells	61448
Missing cells (%)	4.5%
Total size in memory	10.4 MiB
Average record size in memory	280.0 B

Variable types

Numeric	10
Text	25

Alerts

`COMPANY_LINKEDIN_URL` has 7728 (19.8%) missing values	Missing
`ENDDATE` has 7322 (18.7%) missing values	Missing
`DESCRIPTION` has 16102 (41.2%) missing values	Missing
`RCID` has 5016 (12.8%) missing values	Missing
`COMPANY_NAME` has 5022 (12.9%) missing values	Missing
`ULTIMATE_PARENT_RCID` has 5017 (12.8%) missing values	Missing
`ULTIMATE_PARENT_COMPANY_NAME` has 5023 (12.9%) missing values	Missing
`RICS_K50` has 5020 (12.9%) missing values	Missing
`RICS_K400` has 5020 (12.9%) missing values	Missing
`WEIGHT` is highly skewed (γ1 = 31.0129104)	Skewed
`POSITION_ID` has unique values	Unique
`PRESTIGE` has 682 (1.7%) zeros	Zeros

Reproduction

Analysis started	2025-09-30 07:03:37.617512
Analysis finished	2025-09-30 07:03:43.273267
Duration	5.66 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

USER_ID
Real number (ℝ)

Distinct	4655
Distinct (%)	11.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	547509440.7

Minimum	1241390
Maximum	2225886059
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	1241390
5-th percentile	38208293
Q1	211330625
median	427319967
Q3	657391480
95-th percentile	2043478202
Maximum	2225886059
Range	2224644669
Interquartile range (IQR)	446060855

Descriptive statistics

Standard deviation	519583579.9
Coefficient of variation (CV)	0.948994741
Kurtosis	3.427904804
Mean	547509440.7
Median Absolute Deviation (MAD)	224396949
Skewness	1.936478357
Sum	2.138900381 × 10¹³
Variance	2.699670965 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1054172296	143	0.4%
2184947765	134	0.3%
418239532	65	0.2%
177348486	56	0.1%
869358640	54	0.1%
486726525	53	0.1%
36143388	53	0.1%
522221259	53	0.1%
991536422	50	0.1%
16927469	46	0.1%
Other values (4645)	38359	98.2%

Value	Count	Frequency (%)
1241390	8	< 0.1%
1249886	8	< 0.1%
1284328	5	< 0.1%
1490244	5	< 0.1%
1511359	11	< 0.1%

Value	Count	Frequency (%)
2225886059	4	< 0.1%
2225747644	7	< 0.1%
2225599636	5	< 0.1%
2225251020	7	< 0.1%
2224173221	3	< 0.1%

POSITION_ID
Real number (ℝ)

Unique

Distinct	39066
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.913436742 × 10¹⁶

Minimum	-9.223262036 × 10¹⁸
Maximum	9.2228834 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	19451
Negative (%)	49.8%
Memory size	305.3 KiB

Quantile statistics

Minimum	-9.223262036 × 10¹⁸
5-th percentile	-8.270419886 × 10¹⁸
Q1	-4.539560736 × 10¹⁸
median	4.507716992 × 10¹⁶
Q3	4.607073719 × 10¹⁸
95-th percentile	8.293585981 × 10¹⁸
Maximum	9.2228834 × 10¹⁸
Range	-5.986376959 × 10¹⁴
Interquartile range (IQR)	9.146634454 × 10¹⁸

Descriptive statistics

Standard deviation	5.307580319 × 10¹⁸
Coefficient of variation (CV)	277.3846766
Kurtosis	-1.191005313
Mean	1.913436742 × 10¹⁶
Median Absolute Deviation (MAD)	4.57511961 × 10¹⁸
Skewness	-0.002329015401
Sum	-8.813309353 × 10¹⁸
Variance	2.817040884 × 10³⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.150475116 × 10¹⁷	1	< 0.1%
1.260022533 × 10¹⁸	1	< 0.1%
-4.871772573 × 10¹⁸	1	< 0.1%
-4.939933557 × 10¹⁸	1	< 0.1%
5.131730077 × 10¹⁸	1	< 0.1%
-2.865002515 × 10¹⁸	1	< 0.1%
-6.964772228 × 10¹⁸	1	< 0.1%
-1.39503025 × 10¹⁸	1	< 0.1%
-5.757123625 × 10¹⁸	1	< 0.1%
2.168781311 × 10¹⁸	1	< 0.1%
Other values (39056)	39056	> 99.9%

Value	Count	Frequency (%)
-9.223262036 × 10¹⁸	1	< 0.1%
-9.222571923 × 10¹⁸	1	< 0.1%
-9.222324339 × 10¹⁸	1	< 0.1%
-9.22026933 × 10¹⁸	1	< 0.1%
-9.220119657 × 10¹⁸	1	< 0.1%

Value	Count	Frequency (%)
9.2228834 × 10¹⁸	1	< 0.1%
9.222838336 × 10¹⁸	1	< 0.1%
9.222289811 × 10¹⁸	1	< 0.1%
9.222155478 × 10¹⁸	1	< 0.1%
9.222031202 × 10¹⁸	1	< 0.1%

COMPANY_RAW
Text

Distinct	22637
Distinct (%)	58.0%
Missing	27
Missing (%)	0.1%
Memory size	305.3 KiB

Length

Max length	101
Median length	87
Mean length	21.20087605
Min length	1

Characters and Unicode

Total characters	827661
Distinct characters	176
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17831 ?
Unique (%)	45.7%

Sample

1st row	Primix Solutions
2nd row	Time Inc.
3rd row	Valassis Marketing Solutions
4th row	PSONE Art Education
5th row	Macy's

Value	Count	Frequency (%)
of	4364	3.6%
university	3632	3.0%
	2685	2.2%
the	2381	2.0%
new	1554	1.3%
inc	1462	1.2%
school	1307	1.1%
york	1180	1.0%
center	1073	0.9%
college	1041	0.9%
Other values (19731)	99154	82.7%

Most occurring characters

Value	Count	Frequency (%)
	80853	9.8%
e	71500	8.6%
i	52214	6.3%
n	51210	6.2%
a	50944	6.2%
o	50555	6.1%
t	46591	5.6%
r	46048	5.6%
s	33780	4.1%
l	30782	3.7%
Other values (166)	313184	37.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	827661	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	80853	9.8%
e	71500	8.6%
i	52214	6.3%
n	51210	6.2%
a	50944	6.2%
o	50555	6.1%
t	46591	5.6%
r	46048	5.6%
s	33780	4.1%
l	30782	3.7%
Other values (166)	313184	37.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	827661	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	80853	9.8%
e	71500	8.6%
i	52214	6.3%
n	51210	6.2%
a	50944	6.2%
o	50555	6.1%
t	46591	5.6%
r	46048	5.6%
s	33780	4.1%
l	30782	3.7%
Other values (166)	313184	37.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	827661	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	80853	9.8%
e	71500	8.6%
i	52214	6.3%
n	51210	6.2%
a	50944	6.2%
o	50555	6.1%
t	46591	5.6%
r	46048	5.6%
s	33780	4.1%
l	30782	3.7%
Other values (166)	313184	37.8%

COMPANY_LINKEDIN_URL
Text

Missing

Distinct	15385
Distinct (%)	49.1%
Missing	7728
Missing (%)	19.8%
Memory size	305.3 KiB

Length

Max length	326
Median length	98
Mean length	38.10587785
Min length	23

Characters and Unicode

Total characters	1194162
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10973 ?
Unique (%)	35.0%

Sample

1st row	linkedin.com/company/time-inc-
2nd row	linkedin.com/company/valassis
3rd row	linkedin.com/company/world-link-education-ltd
4th row	linkedin.com/company/macy
5th row	linkedin.com/company/freelance-self-employed_4

Value	Count	Frequency (%)
linkedin.com/company/ibm	156	0.5%
linkedin.com/company/goldman-sachs	143	0.5%
linkedin.com/company/columbia-university	133	0.4%
linkedin.com/company/memorial-sloan-kettering-cancer-center	129	0.4%
linkedin.com/company/pwc	125	0.4%
linkedin.com/company/deloitte	119	0.4%
linkedin.com/company/citi	107	0.3%
linkedin.com/company/ernstandyoung	100	0.3%
linkedin.com/company/morgan-stanley	99	0.3%
linkedin.com/company/jpmorganchase	98	0.3%
Other values (15375)	30129	96.1%

Most occurring characters

Value	Count	Frequency (%)
n	131875	11.0%
i	102014	8.5%
o	99549	8.3%
c	88365	7.4%
e	81576	6.8%
m	76618	6.4%
a	70764	5.9%
/	62679	5.2%
l	58576	4.9%
d	44153	3.7%
Other values (40)	377993	31.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1194162	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	131875	11.0%
i	102014	8.5%
o	99549	8.3%
c	88365	7.4%
e	81576	6.8%
m	76618	6.4%
a	70764	5.9%
/	62679	5.2%
l	58576	4.9%
d	44153	3.7%
Other values (40)	377993	31.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1194162	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	131875	11.0%
i	102014	8.5%
o	99549	8.3%
c	88365	7.4%
e	81576	6.8%
m	76618	6.4%
a	70764	5.9%
/	62679	5.2%
l	58576	4.9%
d	44153	3.7%
Other values (40)	377993	31.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1194162	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	131875	11.0%
i	102014	8.5%
o	99549	8.3%
c	88365	7.4%
e	81576	6.8%
m	76618	6.4%
a	70764	5.9%
/	62679	5.2%
l	58576	4.9%
d	44153	3.7%
Other values (40)	377993	31.7%

COMPANY_CLEANED
Text

Distinct	22493
Distinct (%)	57.6%
Missing	25
Missing (%)	0.1%
Memory size	305.3 KiB

Length

Max length	99
Median length	84
Mean length	20.83314977
Min length	2

Characters and Unicode

Total characters	813347
Distinct characters	123
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17647 ?
Unique (%)	45.2%

Sample

1st row	primix solutions
2nd row	time inc
3rd row	valassis marketing solutions
4th row	psone art education
5th row	macy s

Value	Count	Frequency (%)
of	4369	3.6%
university	3673	3.0%
the	2387	2.0%
new	1585	1.3%
inc	1470	1.2%
school	1311	1.1%
york	1215	1.0%
s	1100	0.9%
center	1081	0.9%
college	1050	0.9%
Other values (19006)	101304	84.0%

Most occurring characters

Value	Count	Frequency (%)
	81482	10.0%
e	76545	9.4%
a	60406	7.4%
i	59500	7.3%
n	57910	7.1%
o	53589	6.6%
t	53538	6.6%
r	50910	6.3%
s	47403	5.8%
c	38744	4.8%
Other values (113)	233320	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	813347	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	81482	10.0%
e	76545	9.4%
a	60406	7.4%
i	59500	7.3%
n	57910	7.1%
o	53589	6.6%
t	53538	6.6%
r	50910	6.3%
s	47403	5.8%
c	38744	4.8%
Other values (113)	233320	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	813347	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	81482	10.0%
e	76545	9.4%
a	60406	7.4%
i	59500	7.3%
n	57910	7.1%
o	53589	6.6%
t	53538	6.6%
r	50910	6.3%
s	47403	5.8%
c	38744	4.8%
Other values (113)	233320	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	813347	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	81482	10.0%
e	76545	9.4%
a	60406	7.4%
i	59500	7.3%
n	57910	7.1%
o	53589	6.6%
t	53538	6.6%
r	50910	6.3%
s	47403	5.8%
c	38744	4.8%
Other values (113)	233320	28.7%

LOCATION_RAW
Text

Distinct	5405
Distinct (%)	13.8%
Missing	1
Missing (%)	< 0.1%
Memory size	305.3 KiB

Length

Max length	94
Median length	88
Mean length	26.48777678
Min length	1

Characters and Unicode

Total characters	1034745
Distinct characters	152
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3537 ?
Unique (%)	9.1%

Sample

1st row	New York City Metropolitan Area, United States
2nd row	New York, NY
3rd row	New York City Metropolitan Area, United States
4th row	New York City Metropolitan Area
5th row	Greater New York City Area

Value	Count	Frequency (%)
new	36178	21.1%
york	34553	20.1%
united	16126	9.4%
states	15823	9.2%
area	10218	6.0%
city	9968	5.8%
metropolitan	6533	3.8%
greater	3764	2.2%
ny	2670	1.6%
jersey	1295	0.8%
Other values (4098)	34388	20.0%

Most occurring characters

Value	Count	Frequency (%)
	132482	12.8%
e	110987	10.7%
t	86954	8.4%
r	72617	7.0%
o	64198	6.2%
a	59574	5.8%
i	48611	4.7%
n	42163	4.1%
N	40573	3.9%
,	40463	3.9%
Other values (142)	336123	32.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1034745	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	132482	12.8%
e	110987	10.7%
t	86954	8.4%
r	72617	7.0%
o	64198	6.2%
a	59574	5.8%
i	48611	4.7%
n	42163	4.1%
N	40573	3.9%
,	40463	3.9%
Other values (142)	336123	32.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1034745	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	132482	12.8%
e	110987	10.7%
t	86954	8.4%
r	72617	7.0%
o	64198	6.2%
a	59574	5.8%
i	48611	4.7%
n	42163	4.1%
N	40573	3.9%
,	40463	3.9%
Other values (142)	336123	32.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1034745	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	132482	12.8%
e	110987	10.7%
t	86954	8.4%
r	72617	7.0%
o	64198	6.2%
a	59574	5.8%
i	48611	4.7%
n	42163	4.1%
N	40573	3.9%
,	40463	3.9%
Other values (142)	336123	32.5%

REGION
Text

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	33
Median length	16
Mean length	15.72270005
Min length	5

Characters and Unicode

Total characters	614223
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Northern America
2nd row	Northern America
3rd row	Northern America
4th row	Northern America
5th row	Northern America

Value	Count	Frequency (%)
northern	35636	45.7%
america	35548	45.6%
asia	1207	1.5%
europe	1132	1.5%
southern	914	1.2%
empty	837	1.1%
eastern	566	0.7%
western	509	0.7%
and	255	0.3%
central	255	0.3%
Other values (9)	1080	1.4%

Most occurring characters

Value	Count	Frequency (%)
r	110844	18.0%
e	76422	12.4%
t	39347	6.4%
a	39143	6.4%
	38873	6.3%
n	38653	6.3%
o	37844	6.2%
i	37251	6.1%
A	36991	6.0%
h	36962	6.0%
Other values (18)	121893	19.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	614223	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	110844	18.0%
e	76422	12.4%
t	39347	6.4%
a	39143	6.4%
	38873	6.3%
n	38653	6.3%
o	37844	6.2%
i	37251	6.1%
A	36991	6.0%
h	36962	6.0%
Other values (18)	121893	19.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	614223	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	110844	18.0%
e	76422	12.4%
t	39347	6.4%
a	39143	6.4%
	38873	6.3%
n	38653	6.3%
o	37844	6.2%
i	37251	6.1%
A	36991	6.0%
h	36962	6.0%
Other values (18)	121893	19.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	614223	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	110844	18.0%
e	76422	12.4%
t	39347	6.4%
a	39143	6.4%
	38873	6.3%
n	38653	6.3%
o	37844	6.2%
i	37251	6.1%
A	36991	6.0%
h	36962	6.0%
Other values (18)	121893	19.8%

COUNTRY
Text

Distinct	139
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	40
Median length	13
Mean length	12.38214816
Min length	4

Characters and Unicode

Total characters	483721
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25 ?
Unique (%)	0.1%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	United States
5th row	United States

Value	Count	Frequency (%)
united	35296	47.3%
states	34942	46.8%
empty	837	1.1%
india	426	0.6%
kingdom	313	0.4%
canada	250	0.3%
china	225	0.3%
france	162	0.2%
south	98	0.1%
brazil	94	0.1%
Other values (154)	2045	2.7%

Most occurring characters

Value	Count	Frequency (%)
t	106634	22.0%
e	72386	15.0%
a	38550	8.0%
n	37795	7.8%
i	37381	7.7%
d	36628	7.6%
	35622	7.4%
s	35533	7.3%
U	35311	7.3%
S	35264	7.3%
Other values (41)	12617	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	483721	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	106634	22.0%
e	72386	15.0%
a	38550	8.0%
n	37795	7.8%
i	37381	7.7%
d	36628	7.6%
	35622	7.4%
s	35533	7.3%
U	35311	7.3%
S	35264	7.3%
Other values (41)	12617	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	483721	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	106634	22.0%
e	72386	15.0%
a	38550	8.0%
n	37795	7.8%
i	37381	7.7%
d	36628	7.6%
	35622	7.4%
s	35533	7.3%
U	35311	7.3%
S	35264	7.3%
Other values (41)	12617	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	483721	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	106634	22.0%
e	72386	15.0%
a	38550	8.0%
n	37795	7.8%
i	37381	7.7%
d	36628	7.6%
	35622	7.4%
s	35533	7.3%
U	35311	7.3%
S	35264	7.3%
Other values (41)	12617	2.6%

STATE
Text

Distinct	446
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	29
Median length	8
Mean length	8.41227666
Min length	3

Characters and Unicode

Total characters	328634
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	157 ?
Unique (%)	0.4%

Sample

1st row	New York
2nd row	New York
3rd row	New York
4th row	New York
5th row	New York

Value	Count	Frequency (%)
new	27538	40.3%
york	25632	37.5%
jersey	1805	2.6%
empty	1689	2.5%
california	1102	1.6%
massachusetts	757	1.1%
washington	681	1.0%
pennsylvania	587	0.9%
d.c	579	0.8%
connecticut	553	0.8%
Other values (489)	7483	10.9%

Most occurring characters

Value	Count	Frequency (%)
e	37963	11.6%
r	32043	9.8%
o	31802	9.7%
	29340	8.9%
N	27878	8.5%
w	27696	8.4%
k	25971	7.9%
Y	25649	7.8%
a	12722	3.9%
n	9727	3.0%
Other values (47)	67843	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	328634	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	37963	11.6%
r	32043	9.8%
o	31802	9.7%
	29340	8.9%
N	27878	8.5%
w	27696	8.4%
k	25971	7.9%
Y	25649	7.8%
a	12722	3.9%
n	9727	3.0%
Other values (47)	67843	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	328634	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	37963	11.6%
r	32043	9.8%
o	31802	9.7%
	29340	8.9%
N	27878	8.5%
w	27696	8.4%
k	25971	7.9%
Y	25649	7.8%
a	12722	3.9%
n	9727	3.0%
Other values (47)	67843	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	328634	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	37963	11.6%
r	32043	9.8%
o	31802	9.7%
	29340	8.9%
N	27878	8.5%
w	27696	8.4%
k	25971	7.9%
Y	25649	7.8%
a	12722	3.9%
n	9727	3.0%
Other values (47)	67843	20.6%

METRO_AREA
Text

Distinct	530
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	53
Median length	31
Mean length	29.0234475
Min length	5

Characters and Unicode

Total characters	1133830
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	109 ?
Unique (%)	0.3%

Sample

1st row	new york city metropolitan area
2nd row	new york city metropolitan area
3rd row	new york city metropolitan area
4th row	new york city metropolitan area
5th row	new york city metropolitan area

Value	Count	Frequency (%)
area	37714	22.4%
metropolitan	33406	19.8%
new	27179	16.1%
york	26746	15.9%
city	24605	14.6%
nonmetropolitan	4308	2.6%
empty	1352	0.8%
washington	690	0.4%
boston	636	0.4%
san	574	0.3%
Other values (572)	11319	6.7%

Most occurring characters

Value	Count	Frequency (%)
	129463	11.4%
a	124406	11.0%
o	114520	10.1%
e	110849	9.8%
r	106973	9.4%
t	106485	9.4%
n	82944	7.3%
i	70571	6.2%
y	53854	4.7%
l	43114	3.8%
Other values (19)	190651	16.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1133830	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	129463	11.4%
a	124406	11.0%
o	114520	10.1%
e	110849	9.8%
r	106973	9.4%
t	106485	9.4%
n	82944	7.3%
i	70571	6.2%
y	53854	4.7%
l	43114	3.8%
Other values (19)	190651	16.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1133830	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	129463	11.4%
a	124406	11.0%
o	114520	10.1%
e	110849	9.8%
r	106973	9.4%
t	106485	9.4%
n	82944	7.3%
i	70571	6.2%
y	53854	4.7%
l	43114	3.8%
Other values (19)	190651	16.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1133830	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	129463	11.4%
a	124406	11.0%
o	114520	10.1%
e	110849	9.8%
r	106973	9.4%
t	106485	9.4%
n	82944	7.3%
i	70571	6.2%
y	53854	4.7%
l	43114	3.8%
Other values (19)	190651	16.8%

MSA
Text

Distinct	257
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	53
Median length	53
Mean length	40.68594174
Min length	5

Characters and Unicode

Total characters	1589437
Distinct characters	56
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	65 ?
Unique (%)	0.2%

Sample

1st row	New York-Northern New Jersey-Long Island NY-NJ-PA MSA
2nd row	New York-Northern New Jersey-Long Island NY-NJ-PA MSA
3rd row	New York-Northern New Jersey-Long Island NY-NJ-PA MSA
4th row	New York-Northern New Jersey-Long Island NY-NJ-PA MSA
5th row	New York-Northern New Jersey-Long Island NY-NJ-PA MSA

Value	Count	Frequency (%)
new	51470	24.6%
msa	31754	15.2%
ny-nj-pa	25618	12.2%
york-northern	25618	12.2%
island	25618	12.2%
jersey-long	25618	12.2%
empty	7079	3.4%
ca	901	0.4%
boston-cambridge-quincy	635	0.3%
ma-nh	635	0.3%
Other values (355)	14206	6.8%

Most occurring characters

Value	Count	Frequency (%)
	170086	10.7%
e	145193	9.1%
N	132076	8.3%
-	114851	7.2%
r	109822	6.9%
n	88239	5.6%
o	86393	5.4%
A	63264	4.0%
s	55891	3.5%
w	52351	3.3%
Other values (46)	571271	35.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1589437	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	170086	10.7%
e	145193	9.1%
N	132076	8.3%
-	114851	7.2%
r	109822	6.9%
n	88239	5.6%
o	86393	5.4%
A	63264	4.0%
s	55891	3.5%
w	52351	3.3%
Other values (46)	571271	35.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1589437	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	170086	10.7%
e	145193	9.1%
N	132076	8.3%
-	114851	7.2%
r	109822	6.9%
n	88239	5.6%
o	86393	5.4%
A	63264	4.0%
s	55891	3.5%
w	52351	3.3%
Other values (46)	571271	35.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1589437	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	170086	10.7%
e	145193	9.1%
N	132076	8.3%
-	114851	7.2%
r	109822	6.9%
n	88239	5.6%
o	86393	5.4%
A	63264	4.0%
s	55891	3.5%
w	52351	3.3%
Other values (46)	571271	35.9%

CITY
Text

Distinct	1578
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	23
Median length	13
Mean length	10.51018789
Min length	1

Characters and Unicode

Total characters	410591
Distinct characters	56
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	696 ?
Unique (%)	1.8%

Sample

1st row	New York City
2nd row	New York City
3rd row	New York City
4th row	New York City
5th row	New York City

Value	Count	Frequency (%)
new	21774	25.7%
city	21700	25.6%
york	21448	25.3%
empty	5487	6.5%
washington	556	0.7%
boston	443	0.5%
brooklyn	374	0.4%
san	352	0.4%
philadelphia	228	0.3%
chicago	228	0.3%
Other values (1563)	12032	14.2%

Most occurring characters

Value	Count	Frequency (%)
	45556	11.1%
e	34669	8.4%
t	32944	8.0%
o	30176	7.3%
y	28566	7.0%
i	28025	6.8%
r	27051	6.6%
k	22936	5.6%
C	22703	5.5%
w	22625	5.5%
Other values (46)	115340	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	410591	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	45556	11.1%
e	34669	8.4%
t	32944	8.0%
o	30176	7.3%
y	28566	7.0%
i	28025	6.8%
r	27051	6.6%
k	22936	5.6%
C	22703	5.5%
w	22625	5.5%
Other values (46)	115340	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	410591	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	45556	11.1%
e	34669	8.4%
t	32944	8.0%
o	30176	7.3%
y	28566	7.0%
i	28025	6.8%
r	27051	6.6%
k	22936	5.6%
C	22703	5.5%
w	22625	5.5%
Other values (46)	115340	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	410591	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	45556	11.1%
e	34669	8.4%
t	32944	8.0%
o	30176	7.3%
y	28566	7.0%
i	28025	6.8%
r	27051	6.6%
k	22936	5.6%
C	22703	5.5%
w	22625	5.5%
Other values (46)	115340	28.1%

STARTDATE
Text

Distinct	557
Distinct (%)	1.4%
Missing	99
Missing (%)	0.3%
Memory size	305.3 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	389670
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	58 ?
Unique (%)	0.1%

Sample

1st row	2000-08-01
2nd row	2011-01-01
3rd row	2014-01-01
4th row	2018-01-01
5th row	2007-10-01

Value	Count	Frequency (%)
2018-01-01	435	1.1%
2019-01-01	432	1.1%
2020-01-01	431	1.1%
2022-01-01	423	1.1%
2017-01-01	399	1.0%
2021-01-01	397	1.0%
2021-06-01	376	1.0%
2022-06-01	366	0.9%
2016-01-01	364	0.9%
2019-06-01	340	0.9%
Other values (547)	35004	89.8%

Most occurring characters

Value	Count	Frequency (%)
0	120588	30.9%
1	79514	20.4%
-	77934	20.0%
2	58190	14.9%
9	11377	2.9%
6	7776	2.0%
8	7650	2.0%
5	7399	1.9%
4	6443	1.7%
3	6429	1.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	389670	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	120588	30.9%
1	79514	20.4%
-	77934	20.0%
2	58190	14.9%
9	11377	2.9%
6	7776	2.0%
8	7650	2.0%
5	7399	1.9%
4	6443	1.7%
3	6429	1.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	389670	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	120588	30.9%
1	79514	20.4%
-	77934	20.0%
2	58190	14.9%
9	11377	2.9%
6	7776	2.0%
8	7650	2.0%
5	7399	1.9%
4	6443	1.7%
3	6429	1.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	389670	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	120588	30.9%
1	79514	20.4%
-	77934	20.0%
2	58190	14.9%
9	11377	2.9%
6	7776	2.0%
8	7650	2.0%
5	7399	1.9%
4	6443	1.7%
3	6429	1.6%

ENDDATE
Text

Missing

Distinct	507
Distinct (%)	1.6%
Missing	7322
Missing (%)	18.7%
Memory size	305.3 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	317440
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	67 ?
Unique (%)	0.2%

Sample

1st row	2001-06-01
2nd row	2014-01-01
3rd row	2019-01-01
4th row	2021-12-01
5th row	2008-09-01

Value	Count	Frequency (%)
2018-08-01	440	1.4%
2019-08-01	419	1.3%
2017-08-01	385	1.2%
2022-08-01	381	1.2%
2021-08-01	376	1.2%
2019-05-01	360	1.1%
2021-05-01	352	1.1%
2023-05-01	347	1.1%
2022-05-01	330	1.0%
2023-08-01	327	1.0%
Other values (497)	28027	88.3%

Most occurring characters

Value	Count	Frequency (%)
0	96345	30.4%
1	63668	20.1%
-	63488	20.0%
2	50826	16.0%
8	7963	2.5%
9	7056	2.2%
5	6878	2.2%
4	5520	1.7%
3	5443	1.7%
6	5261	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	317440	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	96345	30.4%
1	63668	20.1%
-	63488	20.0%
2	50826	16.0%
8	7963	2.5%
9	7056	2.2%
5	6878	2.2%
4	5520	1.7%
3	5443	1.7%
6	5261	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	317440	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	96345	30.4%
1	63668	20.1%
-	63488	20.0%
2	50826	16.0%
8	7963	2.5%
9	7056	2.2%
5	6878	2.2%
4	5520	1.7%
3	5443	1.7%
6	5261	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	317440	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	96345	30.4%
1	63668	20.1%
-	63488	20.0%
2	50826	16.0%
8	7963	2.5%
9	7056	2.2%
5	6878	2.2%
4	5520	1.7%
3	5443	1.7%
6	5261	1.7%

JOBTITLE_RAW
Text

Distinct	23110
Distinct (%)	59.2%
Missing	22
Missing (%)	0.1%
Memory size	305.3 KiB

Length

Max length	106
Median length	92
Mean length	26.17913124
Min length	2

Characters and Unicode

Total characters	1022138
Distinct characters	162
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20263 ?
Unique (%)	51.9%

Sample

1st row	Developer
2nd row	Group President, Sports Group â Sports Illustrated and Golf
3rd row	Board Director and Consultant
4th row	Director, New York Fashion Department
5th row	Associate Planner - Designer Shoes

Value	Count	Frequency (%)
	4892	3.7%
intern	3831	2.9%
assistant	3512	2.7%
manager	3232	2.4%
director	2935	2.2%
and	2793	2.1%
of	2580	2.0%
associate	2530	1.9%
senior	2321	1.8%
research	2106	1.6%
Other values (9667)	101305	76.7%

Most occurring characters

Value	Count	Frequency (%)
e	102313	10.0%
	93151	9.1%
r	75563	7.4%
t	74951	7.3%
n	74550	7.3%
a	69683	6.8%
i	67911	6.6%
o	55920	5.5%
s	52062	5.1%
c	36487	3.6%
Other values (152)	319547	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1022138	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	102313	10.0%
	93151	9.1%
r	75563	7.4%
t	74951	7.3%
n	74550	7.3%
a	69683	6.8%
i	67911	6.6%
o	55920	5.5%
s	52062	5.1%
c	36487	3.6%
Other values (152)	319547	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1022138	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	102313	10.0%
	93151	9.1%
r	75563	7.4%
t	74951	7.3%
n	74550	7.3%
a	69683	6.8%
i	67911	6.6%
o	55920	5.5%
s	52062	5.1%
c	36487	3.6%
Other values (152)	319547	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1022138	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	102313	10.0%
	93151	9.1%
r	75563	7.4%
t	74951	7.3%
n	74550	7.3%
a	69683	6.8%
i	67911	6.6%
o	55920	5.5%
s	52062	5.1%
c	36487	3.6%
Other values (152)	319547	31.3%

MAPPED_ROLE
Text

Distinct	1222
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	37
Median length	30
Mean length	11.82864895
Min length	1

Characters and Unicode

Total characters	462098
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	193 ?
Unique (%)	0.5%

Sample

1st row	developer
2nd row	advertising
3rd row	strategic
4th row	nanny
5th row	merchandising

Value	Count	Frequency (%)
research	3080	5.4%
analyst	2058	3.6%
marketing	1582	2.8%
teaching	1424	2.5%
social	1323	2.3%
teacher	1258	2.2%
scientist	1095	1.9%
engineer	1081	1.9%
media	1009	1.8%
writer	986	1.7%
Other values (564)	41931	73.8%

Most occurring characters

Value	Count	Frequency (%)
e	54769	11.9%
t	42303	9.2%
r	41454	9.0%
a	41019	8.9%
i	37180	8.0%
s	34689	7.5%
n	34266	7.4%
c	28674	6.2%
o	25441	5.5%
	17761	3.8%
Other values (17)	104542	22.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	462098	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	54769	11.9%
t	42303	9.2%
r	41454	9.0%
a	41019	8.9%
i	37180	8.0%
s	34689	7.5%
n	34266	7.4%
c	28674	6.2%
o	25441	5.5%
	17761	3.8%
Other values (17)	104542	22.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	462098	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	54769	11.9%
t	42303	9.2%
r	41454	9.0%
a	41019	8.9%
i	37180	8.0%
s	34689	7.5%
n	34266	7.4%
c	28674	6.2%
o	25441	5.5%
	17761	3.8%
Other values (17)	104542	22.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	462098	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	54769	11.9%
t	42303	9.2%
r	41454	9.0%
a	41019	8.9%
i	37180	8.0%
s	34689	7.5%
n	34266	7.4%
c	28674	6.2%
o	25441	5.5%
	17761	3.8%
Other values (17)	104542	22.6%

JOB_CATEGORY
Text

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	10
Median length	9
Mean length	7.353785901
Min length	5

Characters and Unicode

Total characters	287283
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Engineer
2nd row	Marketing
3rd row	Sales
4th row	Sales
5th row	Sales

Value	Count	Frequency (%)
marketing	10365	26.5%
admin	8040	20.6%
scientist	5528	14.2%
sales	5309	13.6%
engineer	4452	11.4%
finance	3945	10.1%
operations	1427	3.7%

Most occurring characters

Value	Count	Frequency (%)
n	42154	14.7%
i	39285	13.7%
e	35478	12.3%
t	22848	8.0%
a	21046	7.3%
r	16244	5.7%
g	14817	5.2%
s	12264	4.3%
S	10837	3.8%
M	10365	3.6%
Other values (11)	61945	21.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	287283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	42154	14.7%
i	39285	13.7%
e	35478	12.3%
t	22848	8.0%
a	21046	7.3%
r	16244	5.7%
g	14817	5.2%
s	12264	4.3%
S	10837	3.8%
M	10365	3.6%
Other values (11)	61945	21.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	287283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	42154	14.7%
i	39285	13.7%
e	35478	12.3%
t	22848	8.0%
a	21046	7.3%
r	16244	5.7%
g	14817	5.2%
s	12264	4.3%
S	10837	3.8%
M	10365	3.6%
Other values (11)	61945	21.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	287283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	42154	14.7%
i	39285	13.7%
e	35478	12.3%
t	22848	8.0%
a	21046	7.3%
r	16244	5.7%
g	14817	5.2%
s	12264	4.3%
S	10837	3.8%
M	10365	3.6%
Other values (11)	61945	21.6%

DESCRIPTION
Text

Missing

Distinct	22723
Distinct (%)	99.0%
Missing	16102
Missing (%)	41.2%
Memory size	305.3 KiB

Length

Max length	2063
Median length	1636
Mean length	402.0821721
Min length	1

Characters and Unicode

Total characters	9233415
Distinct characters	188
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22518 ?
Unique (%)	98.1%

Sample

1st row	HTML, javascript, DHTML development Sole front-end developer for the following Primix clients: 1. EMC Corporationâ¢ On site development for the EMC Sales and Marketing intranet siteâ¢ Extensive utilization of HTML, JavaScript, HomeSite, Photoshop, for Sales and Marketing intranet siteâ¢ Introduced to the uses of XML, SourceSafe, and Documentum for content conversion 2. PitneyWorks, division of Pitney Bowesâ¢ Developed the front-end of then online Mailing and Shipping Tool: Browser Click Stamp Onlineâ¢ Supplied a click-through prototype to the client to be used for user-testing. Observed this user-testing on site and worked closely with the client to make real time updates to the prototype based on user feedbackâ¢ Created templates from wireframes, applying look & feel, and used them to produce 150+ pages for actual siteâ¢ Successfully completed a cross-browser DHTML page in which form elements appear and disappear and content dynamically changes depending on usersâ initial choices 3. Depuy Acromed, division of Johnson and Johnsonâ¢ Designed and implemented a 5-page clickable demo tailored for the uses of their Sales Representatives
2nd row	Oversaw global business/operations development for $600M sports group, with a digitalize/innovate mandate by CEO and Board.â¢ Launched Sports Illustrated China.â¢ Expanded Swimsuit into a stand-alone business reaching more adults than the Super Bowl via live-streaming and videos.â¢ Relaunched Sports Illustrated.com to deliver video content through mobile-first platform; added live talk show and digital subscriptions; plus partnered with MLB and NHL to launch digital sports network under SI.com.
3rd row	Valassis Communications, which is one of the world's largest coupon distributors/processors, is a a former public company taken private in 2014 when acquired as a wholly owned subsidiary of M&F Worldwide/MacAndrews & Forbes, Inc., a U.S. diversified holding firm. Of note includes:â¢ Suggested transition from newspaper free-standing inserts (FSIs) company to a marketing technology and omnichannel solutions firm that predicts behavior and spurs activation with direct mail, display ads, and mobile.
4th row	Earned five promotions from 1985 to 1997 at Time; from starting position at J. Walter Thompson, progressively promoted into more senior roles at Hearst Corporation, including named Midwestern Manager for Cosmopolitan.
5th row	For this social media optimization platform that creates new revenue streams for publishers:â¢ Introduced company to publishers with content distribution services that amplified their social media presence, resulting in new revenue opportunities that led to acquisition by Piano, a digital experience manufacturer.

Value	Count	Frequency (%)
and	81983	6.4%
the	37717	2.9%
to	30870	2.4%
of	30171	2.4%
for	23880	1.9%
in	21742	1.7%
a	16759	1.3%
with	15245	1.2%
	13624	1.1%
â¢	11894	0.9%
Other values (72416)	996890	77.8%

Most occurring characters

Value	Count	Frequency (%)
	1253842	13.6%
e	851162	9.2%
n	623065	6.7%
a	615162	6.7%
t	609241	6.6%
i	598877	6.5%
o	529462	5.7%
r	494842	5.4%
s	492686	5.3%
d	328168	3.6%
Other values (178)	2836908	30.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9233415	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1253842	13.6%
e	851162	9.2%
n	623065	6.7%
a	615162	6.7%
t	609241	6.6%
i	598877	6.5%
o	529462	5.7%
r	494842	5.4%
s	492686	5.3%
d	328168	3.6%
Other values (178)	2836908	30.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9233415	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1253842	13.6%
e	851162	9.2%
n	623065	6.7%
a	615162	6.7%
t	609241	6.6%
i	598877	6.5%
o	529462	5.7%
r	494842	5.4%
s	492686	5.3%
d	328168	3.6%
Other values (178)	2836908	30.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9233415	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1253842	13.6%
e	851162	9.2%
n	623065	6.7%
a	615162	6.7%
t	609241	6.6%
i	598877	6.5%
o	529462	5.7%
r	494842	5.4%
s	492686	5.3%
d	328168	3.6%
Other values (178)	2836908	30.7%

ROLE_K50
Text

Distinct	50
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	27
Median length	25
Mean length	12.75853684
Min length	5

Characters and Unicode

Total characters	498425
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Software Engineer
2nd row	Marketing
3rd row	Product Manager
4th row	Cashier
5th row	Merchandiser

Value	Count	Frequency (%)
producer	5591	9.7%
coordinator	5291	9.2%
specialist	4716	8.2%
scientist	3070	5.3%
manager	2674	4.7%
medical	2229	3.9%
rep	2229	3.9%
engineer	2094	3.6%
investment	1957	3.4%
sales	1781	3.1%
Other values (55)	25782	44.9%

Most occurring characters

Value	Count	Frequency (%)
e	53467	10.7%
i	44446	8.9%
r	42367	8.5%
a	38053	7.6%
t	37727	7.6%
n	35491	7.1%
o	34567	6.9%
c	28262	5.7%
s	24851	5.0%
	18348	3.7%
Other values (31)	140846	28.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	498425	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	53467	10.7%
i	44446	8.9%
r	42367	8.5%
a	38053	7.6%
t	37727	7.6%
n	35491	7.1%
o	34567	6.9%
c	28262	5.7%
s	24851	5.0%
	18348	3.7%
Other values (31)	140846	28.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	498425	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	53467	10.7%
i	44446	8.9%
r	42367	8.5%
a	38053	7.6%
t	37727	7.6%
n	35491	7.1%
o	34567	6.9%
c	28262	5.7%
s	24851	5.0%
	18348	3.7%
Other values (31)	140846	28.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	498425	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	53467	10.7%
i	44446	8.9%
r	42367	8.5%
a	38053	7.6%
t	37727	7.6%
n	35491	7.1%
o	34567	6.9%
c	28262	5.7%
s	24851	5.0%
	18348	3.7%
Other values (31)	140846	28.3%

ROLE_K150
Text

Distinct	149
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	30
Median length	24
Mean length	13.36476732
Min length	2

Characters and Unicode

Total characters	522108
Distinct characters	47
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Software Developer
2nd row	Marketing
3rd row	Corporate Strategy
4th row	Cleaner
5th row	Merchandiser

Value	Count	Frequency (%)
specialist	5051	7.9%
corporate	4546	7.1%
trainer	3658	5.7%
manager	3422	5.3%
scientist	3372	5.3%
writer	2385	3.7%
producer	1935	3.0%
designer	1694	2.6%
legal	1635	2.6%
engineer	1444	2.3%
Other values (145)	34945	54.5%

Most occurring characters

Value	Count	Frequency (%)
e	61649	11.8%
r	47973	9.2%
i	44517	8.5%
t	44118	8.4%
a	42948	8.2%
n	36498	7.0%
o	26319	5.0%
c	25034	4.8%
	25021	4.8%
s	24014	4.6%
Other values (37)	144017	27.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	522108	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	61649	11.8%
r	47973	9.2%
i	44517	8.5%
t	44118	8.4%
a	42948	8.2%
n	36498	7.0%
o	26319	5.0%
c	25034	4.8%
	25021	4.8%
s	24014	4.6%
Other values (37)	144017	27.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	522108	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	61649	11.8%
r	47973	9.2%
i	44517	8.5%
t	44118	8.4%
a	42948	8.2%
n	36498	7.0%
o	26319	5.0%
c	25034	4.8%
	25021	4.8%
s	24014	4.6%
Other values (37)	144017	27.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	522108	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	61649	11.8%
r	47973	9.2%
i	44517	8.5%
t	44118	8.4%
a	42948	8.2%
n	36498	7.0%
o	26319	5.0%
c	25034	4.8%
	25021	4.8%
s	24014	4.6%
Other values (37)	144017	27.6%

ROLE_K300
Text

Distinct	289
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	39
Median length	26
Mean length	13.67823683
Min length	2

Characters and Unicode

Total characters	534354
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	Software Developer
2nd row	Marketing
3rd row	Engagement Manager
4th row	Home Department Manager
5th row	Merchandiser

Value	Count	Frequency (%)
specialist	4754	7.3%
corporate	4234	6.5%
trainer	3659	5.6%
scientist	3104	4.8%
manager	2699	4.1%
writer	2385	3.7%
designer	1694	2.6%
legal	1591	2.4%
engineer	1391	2.1%
content	1331	2.0%
Other values (249)	38325	58.8%

Most occurring characters

Value	Count	Frequency (%)
e	60196	11.3%
r	46941	8.8%
t	46636	8.7%
i	45969	8.6%
a	41851	7.8%
n	39556	7.4%
o	29258	5.5%
	26101	4.9%
s	25295	4.7%
c	21396	4.0%
Other values (42)	151155	28.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	534354	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	60196	11.3%
r	46941	8.8%
t	46636	8.7%
i	45969	8.6%
a	41851	7.8%
n	39556	7.4%
o	29258	5.5%
	26101	4.9%
s	25295	4.7%
c	21396	4.0%
Other values (42)	151155	28.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	534354	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	60196	11.3%
r	46941	8.8%
t	46636	8.7%
i	45969	8.6%
a	41851	7.8%
n	39556	7.4%
o	29258	5.5%
	26101	4.9%
s	25295	4.7%
c	21396	4.0%
Other values (42)	151155	28.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	534354	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	60196	11.3%
r	46941	8.8%
t	46636	8.7%
i	45969	8.6%
a	41851	7.8%
n	39556	7.4%
o	29258	5.5%
	26101	4.9%
s	25295	4.7%
c	21396	4.0%
Other values (42)	151155	28.3%

ROLE_K500
Text

Distinct	459
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	39
Median length	27
Mean length	13.21056673
Min length	2

Characters and Unicode

Total characters	516084
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	0.1%

Sample

1st row	Software Developer
2nd row	Marketing
3rd row	Engagement Manager
4th row	Home Department Manager
5th row	Merchandiser

Value	Count	Frequency (%)
specialist	4616	7.3%
manager	3182	5.0%
scientist	3058	4.8%
writer	2341	3.7%
professor	2062	3.2%
designer	1791	2.8%
legal	1591	2.5%
teacher	1546	2.4%
analyst	1336	2.1%
engineer	1272	2.0%
Other values (354)	40871	64.2%

Most occurring characters

Value	Count	Frequency (%)
e	59392	11.5%
i	42609	8.3%
a	40717	7.9%
t	40572	7.9%
r	40323	7.8%
n	35628	6.9%
s	30391	5.9%
	24600	4.8%
o	24496	4.7%
c	22788	4.4%
Other values (45)	154568	30.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	516084	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	59392	11.5%
i	42609	8.3%
a	40717	7.9%
t	40572	7.9%
r	40323	7.8%
n	35628	6.9%
s	30391	5.9%
	24600	4.8%
o	24496	4.7%
c	22788	4.4%
Other values (45)	154568	30.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	516084	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	59392	11.5%
i	42609	8.3%
a	40717	7.9%
t	40572	7.9%
r	40323	7.8%
n	35628	6.9%
s	30391	5.9%
	24600	4.8%
o	24496	4.7%
c	22788	4.4%
Other values (45)	154568	30.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	516084	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	59392	11.5%
i	42609	8.3%
a	40717	7.9%
t	40572	7.9%
r	40323	7.8%
n	35628	6.9%
s	30391	5.9%
	24600	4.8%
o	24496	4.7%
c	22788	4.4%
Other values (45)	154568	30.0%

ROLE_K1000
Text

Distinct	866
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	305.3 KiB

Length

Max length	39
Median length	32
Mean length	13.76432192
Min length	2

Characters and Unicode

Total characters	537717
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	104 ?
Unique (%)	0.3%

Sample

1st row	Developer
2nd row	Advertising Specialist
3rd row	Strategic Projects
4th row	Nanny
5th row	Merchandising Specialist

Value	Count	Frequency (%)
specialist	4872	7.4%
professor	2062	3.1%
researcher	1817	2.8%
manager	1605	2.4%
analyst	1510	2.3%
editor	1482	2.2%
social	1323	2.0%
marketing	1283	1.9%
teacher	1258	1.9%
scientist	1204	1.8%
Other values (525)	47654	72.1%

Most occurring characters

Value	Count	Frequency (%)
e	60557	11.3%
r	44066	8.2%
i	43378	8.1%
t	40398	7.5%
a	40221	7.5%
n	33208	6.2%
s	32667	6.1%
o	29680	5.5%
	27004	5.0%
c	24770	4.6%
Other values (45)	161768	30.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	537717	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	60557	11.3%
r	44066	8.2%
i	43378	8.1%
t	40398	7.5%
a	40221	7.5%
n	33208	6.2%
s	32667	6.1%
o	29680	5.5%
	27004	5.0%
c	24770	4.6%
Other values (45)	161768	30.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	537717	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	60557	11.3%
r	44066	8.2%
i	43378	8.1%
t	40398	7.5%
a	40221	7.5%
n	33208	6.2%
s	32667	6.1%
o	29680	5.5%
	27004	5.0%
c	24770	4.6%
Other values (45)	161768	30.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	537717	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	60557	11.3%
r	44066	8.2%
i	43378	8.1%
t	40398	7.5%
a	40221	7.5%
n	33208	6.2%
s	32667	6.1%
o	29680	5.5%
	27004	5.0%
c	24770	4.6%
Other values (45)	161768	30.1%

SENIORITY
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.670659909

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	6
Maximum	7
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.708358101
Coefficient of variation (CV)	0.6396763945
Kurtosis	-0.6966211461
Mean	2.670659909
Median Absolute Deviation (MAD)	1
Skewness	0.7290899805
Sum	104332
Variance	2.918487403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	13527	34.6%
2	9375	24.0%
5	5389	13.8%
3	4135	10.6%
4	3899	10.0%
6	2078	5.3%
7	663	1.7%

Value	Count	Frequency (%)
1	13527	34.6%
2	9375	24.0%
3	4135	10.6%
4	3899	10.0%
5	5389	13.8%

Value	Count	Frequency (%)
7	663	1.7%
6	2078	5.3%
5	5389	13.8%
4	3899	10.0%
3	4135	10.6%

SALARY
Real number (ℝ)

Distinct	39033
Distinct (%)	99.9%
Missing	2
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	96510.9335

Minimum	1577.443604
Maximum	985071.125
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	1577.443604
5-th percentile	23773.10361
Q1	44396.36914
median	70864.98438
Q3	119456.3691
95-th percentile	264304.9297
Maximum	985071.125
Range	983493.6814
Interquartile range (IQR)	75060

Descriptive statistics

Standard deviation	78920.29009
Coefficient of variation (CV)	0.8177341906
Kurtosis	6.16928325
Mean	96510.9335
Median Absolute Deviation (MAD)	31886.21875
Skewness	2.065322752
Sum	3770103106
Variance	6228412188
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
378749.375	4	< 0.1%
357500.375	4	< 0.1%
59008.40234	2	< 0.1%
52198.27734	2	< 0.1%
121656.1953	2	< 0.1%
680000	2	< 0.1%
37776.42578	2	< 0.1%
44745.85547	2	< 0.1%
89217.61719	2	< 0.1%
75779.60156	2	< 0.1%
Other values (39023)	39040	99.9%

Value	Count	Frequency (%)
1577.443604	1	< 0.1%
1659.37915	1	< 0.1%
1678.730713	1	< 0.1%
1849.381226	1	< 0.1%
1900.118286	1	< 0.1%

Value	Count	Frequency (%)
985071.125	1	< 0.1%
851264.625	1	< 0.1%
827263.8125	1	< 0.1%
807045.8125	1	< 0.1%
789477.625	1	< 0.1%

TOTAL_COMPENSATION
Real number (ℝ)

Distinct	39034
Distinct (%)	99.9%
Missing	2
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	134012.1471

Minimum	1938.810181
Maximum	3768033.75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	1938.810181
5-th percentile	26731.78613
Q1	50133.2666
median	81017.15625
Q3	145515.9492
95-th percentile	411008.6531
Maximum	3768033.75
Range	3766094.94
Interquartile range (IQR)	95382.68262

Descriptive statistics

Standard deviation	170557.9476
Coefficient of variation (CV)	1.272705134
Kurtosis	47.26913979
Mean	134012.1471
Median Absolute Deviation (MAD)	37946.31055
Skewness	5.20823021
Sum	5235050514
Variance	2.90900135 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66289.14844	2	< 0.1%
84140.39844	2	< 0.1%
79736.89844	2	< 0.1%
88759.39844	2	< 0.1%
40999.92188	2	< 0.1%
43934.65234	2	< 0.1%
38622.19531	2	< 0.1%
60422.14062	2	< 0.1%
39968.49609	2	< 0.1%
46030.74609	2	< 0.1%
Other values (39024)	39044	99.9%

Value	Count	Frequency (%)
1938.810181	1	< 0.1%
2171.442627	1	< 0.1%
2198.820801	1	< 0.1%
2254.506104	1	< 0.1%
2267.990234	1	< 0.1%

Value	Count	Frequency (%)
3768033.75	1	< 0.1%
3733107	1	< 0.1%
3684005.75	1	< 0.1%
2683586.5	1	< 0.1%
2421338.75	1	< 0.1%

PRESTIGE
Real number (ℝ)

Zeros

Distinct	38356
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4153518502

Minimum	-0.9719650416
Maximum	1
Zeros	682
Zeros (%)	1.7%
Negative	7613
Negative (%)	19.5%
Memory size	305.3 KiB

Quantile statistics

Minimum	-0.9719650416
5-th percentile	-0.4826184058
Q1	0.1124327944
median	0.545473012
Q3	0.7773640347
95-th percentile	0.935618379
Maximum	1
Range	1.971965042
Interquartile range (IQR)	0.6649312403

Descriptive statistics

Standard deviation	0.4450694144
Coefficient of variation (CV)	1.071547928
Kurtosis	-0.3831481846
Mean	0.4153518502
Median Absolute Deviation (MAD)	0.2835350207
Skewness	-0.8048343648
Sum	16226.13538
Variance	0.1980867836
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	682	1.7%
0.8161991277	9	< 0.1%
-0.066804	6	< 0.1%
1	6	< 0.1%
0.9281898564	6	< 0.1%
0.831982	2	< 0.1%
-0.1778641679	2	< 0.1%
0.9295154335	2	< 0.1%
0.8287789226	2	< 0.1%
0.128412	2	< 0.1%
Other values (38346)	38347	98.2%

Value	Count	Frequency (%)
-0.9719650416	1	< 0.1%
-0.971048	1	< 0.1%
-0.93553	1	< 0.1%
-0.9286434773	1	< 0.1%
-0.9262099079	1	< 0.1%

Value	Count	Frequency (%)
1	6	< 0.1%
0.9920077874	1	< 0.1%
0.9918522179	1	< 0.1%
0.991722926	1	< 0.1%
0.9915316516	1	< 0.1%

RN
Real number (ℝ)

Distinct	143
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.934009113

Minimum	1
Maximum	143
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	9
95-th percentile	17
Maximum	143
Range	142
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	8.50625819
Coefficient of variation (CV)	1.226744593
Kurtosis	79.52171778
Mean	6.934009113
Median Absolute Deviation (MAD)	3
Skewness	7.123659361
Sum	270884
Variance	72.3564284
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	4655	11.9%
2	4407	11.3%
3	4220	10.8%
4	3957	10.1%
5	3606	9.2%
6	3195	8.2%
7	2806	7.2%
8	2331	6.0%
9	1896	4.9%
10	1502	3.8%
Other values (133)	6491	16.6%

Value	Count	Frequency (%)
1	4655	11.9%
2	4407	11.3%
3	4220	10.8%
4	3957	10.1%
5	3606	9.2%

Value	Count	Frequency (%)
143	1	< 0.1%
142	1	< 0.1%
141	1	< 0.1%
140	1	< 0.1%
139	1	< 0.1%

RCID
Real number (ℝ)

Missing

Distinct	16011
Distinct (%)	47.0%
Missing	5016
Missing (%)	12.8%
Infinite	0
Infinite (%)	0.0%
Mean	7853503.374

Minimum	6
Maximum	102380922
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	6
5-th percentile	103863.1
Q1	550201.75
median	1104097
Q3	5326825.75
95-th percentile	24829039
Maximum	102380922
Range	102380916
Interquartile range (IQR)	4776624

Descriptive statistics

Standard deviation	19484498.68
Coefficient of variation (CV)	2.4809945
Kurtosis	14.27939458
Mean	7853503.374
Median Absolute Deviation (MAD)	717472
Skewness	3.833590179
Sum	2.674117899 × 10¹¹
Variance	3.796456887 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
676991	240	0.6%
1165410	208	0.5%
22142390	167	0.4%
20923715	146	0.4%
15768159	145	0.4%
1304181	133	0.3%
709929	129	0.3%
267301	122	0.3%
20937770	122	0.3%
1485785	108	0.3%
Other values (16001)	32530	83.3%
(Missing)	5016	12.8%

Value	Count	Frequency (%)
6	1	< 0.1%
218	16	< 0.1%
350	1	< 0.1%
405	1	< 0.1%
407	2	< 0.1%

Value	Count	Frequency (%)
102380922	1	< 0.1%
102380157	1	< 0.1%
102264385	1	< 0.1%
102252543	1	< 0.1%
102245424	1	< 0.1%

COMPANY_NAME
Text

Missing

Distinct	16009
Distinct (%)	47.0%
Missing	5022
Missing (%)	12.9%
Memory size	305.3 KiB

Length

Max length	92
Median length	73
Mean length	23.94615791
Min length	2

Characters and Unicode

Total characters	815223
Distinct characters	155
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11521 ?
Unique (%)	33.8%

Sample

1st row	Primix Solutions, Inc.
2nd row	TI Gotham, Inc.
3rd row	Valassis Sales & Marketing Services, Inc.
4th row	Psone Art Education
5th row	Macy's, Inc.

Value	Count	Frequency (%)
inc	8632	7.1%
of	4508	3.7%
university	3707	3.0%
llc	3306	2.7%
the	3212	2.6%
	2559	2.1%
new	2364	1.9%
york	1921	1.6%
ltd	1489	1.2%
group	1419	1.2%
Other values (14986)	88831	72.8%

Most occurring characters

Value	Count	Frequency (%)
	87908	10.8%
e	65174	8.0%
n	53742	6.6%
o	48320	5.9%
i	47090	5.8%
a	43620	5.4%
t	43618	5.4%
r	42418	5.2%
s	31738	3.9%
l	27296	3.3%
Other values (145)	324299	39.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	815223	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	87908	10.8%
e	65174	8.0%
n	53742	6.6%
o	48320	5.9%
i	47090	5.8%
a	43620	5.4%
t	43618	5.4%
r	42418	5.2%
s	31738	3.9%
l	27296	3.3%
Other values (145)	324299	39.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	815223	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	87908	10.8%
e	65174	8.0%
n	53742	6.6%
o	48320	5.9%
i	47090	5.8%
a	43620	5.4%
t	43618	5.4%
r	42418	5.2%
s	31738	3.9%
l	27296	3.3%
Other values (145)	324299	39.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	815223	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	87908	10.8%
e	65174	8.0%
n	53742	6.6%
o	48320	5.9%
i	47090	5.8%
a	43620	5.4%
t	43618	5.4%
r	42418	5.2%
s	31738	3.9%
l	27296	3.3%
Other values (145)	324299	39.8%

ULTIMATE_PARENT_RCID
Real number (ℝ)

Missing

Distinct	14146
Distinct (%)	41.5%
Missing	5017
Missing (%)	12.8%
Infinite	0
Infinite (%)	0.0%
Mean	9960777.46

Minimum	6
Maximum	102380922
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	6
5-th percentile	121548.6
Q1	593124
median	1127719
Q3	6922141
95-th percentile	93104739
Maximum	102380922
Range	102380916
Interquartile range (IQR)	6329017

Descriptive statistics

Standard deviation	22512565.69
Coefficient of variation (CV)	2.260121339
Kurtosis	9.626682424
Mean	9960777.46
Median Absolute Deviation (MAD)	769130
Skewness	3.234333932
Sum	3.391545117 × 10¹¹
Variance	5.068156141 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1006288	439	1.1%
676991	421	1.1%
1165410	283	0.7%
543448	199	0.5%
476155	190	0.5%
102944	176	0.5%
22142390	174	0.4%
1237807	170	0.4%
786030	162	0.4%
329436	161	0.4%
Other values (14136)	31674	81.1%
(Missing)	5017	12.8%

Value	Count	Frequency (%)
6	1	< 0.1%
218	20	0.1%
405	1	< 0.1%
1192	1	< 0.1%
1370	3	< 0.1%

Value	Count	Frequency (%)
102380922	1	< 0.1%
102380157	1	< 0.1%
102370910	6	< 0.1%
102360172	1	< 0.1%
102327047	19	< 0.1%

ULTIMATE_PARENT_COMPANY_NAME
Text

Missing

Distinct	14144
Distinct (%)	41.5%
Missing	5023
Missing (%)	12.9%
Memory size	305.3 KiB

Length

Max length	92
Median length	73
Mean length	23.67761361
Min length	2

Characters and Unicode

Total characters	806057
Distinct characters	154
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10202 ?
Unique (%)	30.0%

Sample

1st row	Deutsche Telekom AG
2nd row	IAC, Inc.
3rd row	RRD Intermediate Holdings, Inc.
4th row	Psone Art Education
5th row	Macy's, Inc.

Value	Count	Frequency (%)
inc	8722	7.2%
of	5689	4.7%
university	4183	3.4%
the	4139	3.4%
new	2897	2.4%
llc	2436	2.0%
york	2433	2.0%
	2313	1.9%
group	1917	1.6%
corp	1895	1.6%
Other values (14051)	85357	70.0%

Most occurring characters

Value	Count	Frequency (%)
	87949	10.9%
e	63681	7.9%
n	53024	6.6%
o	49130	6.1%
i	46059	5.7%
t	43576	5.4%
r	42834	5.3%
a	41921	5.2%
s	31377	3.9%
l	25837	3.2%
Other values (144)	320669	39.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	806057	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	87949	10.9%
e	63681	7.9%
n	53024	6.6%
o	49130	6.1%
i	46059	5.7%
t	43576	5.4%
r	42834	5.3%
a	41921	5.2%
s	31377	3.9%
l	25837	3.2%
Other values (144)	320669	39.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	806057	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	87949	10.9%
e	63681	7.9%
n	53024	6.6%
o	49130	6.1%
i	46059	5.7%
t	43576	5.4%
r	42834	5.3%
a	41921	5.2%
s	31377	3.9%
l	25837	3.2%
Other values (144)	320669	39.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	806057	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	87949	10.9%
e	63681	7.9%
n	53024	6.6%
o	49130	6.1%
i	46059	5.7%
t	43576	5.4%
r	42834	5.3%
a	41921	5.2%
s	31377	3.9%
l	25837	3.2%
Other values (144)	320669	39.8%

WEIGHT
Real number (ℝ)

Skewed

Distinct	4526
Distinct (%)	11.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.045517774

Minimum	1
Maximum	9.098433495
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	305.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1.000833273
Q1	1.009209991
median	1.021778822
Q3	1.044798017
95-th percentile	1.139070511
Maximum	9.098433495
Range	8.098433495
Interquartile range (IQR)	0.035588026

Descriptive statistics

Standard deviation	0.1625135054
Coefficient of variation (CV)	0.1554383
Kurtosis	1306.139824
Mean	1.045517774
Median Absolute Deviation (MAD)	0.015255928
Skewness	31.0129104
Sum	40844.19737
Variance	0.02641063944
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.000783324	486	1.2%
1.025333166	143	0.4%
1.060254812	134	0.3%
1.00076592	90	0.2%
1.027624726	65	0.2%
1.013689041	56	0.1%
1.017953277	54	0.1%
1.016091228	53	0.1%
1.025051713	53	0.1%
1.083386421	53	0.1%
Other values (4516)	37879	97.0%

Value	Count	Frequency (%)
1	38	0.1%
1.000018954	1	< 0.1%
1.000020027	2	< 0.1%
1.000029802	7	< 0.1%
1.000044703	9	< 0.1%

Value	Count	Frequency (%)
9.098433495	7	< 0.1%
6.023827553	5	< 0.1%
5.16924572	4	< 0.1%
4.952446461	4	< 0.1%
4.878962517	4	< 0.1%

RICS_K50
Text

Missing

Distinct	50
Distinct (%)	0.1%
Missing	5020
Missing (%)	12.9%
Memory size	305.3 KiB

Length

Max length	38
Median length	34
Mean length	23.97559185
Min length	13

Characters and Unicode

Total characters	816273
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Information Technology Services
2nd row	Media and Entertainment
3rd row	Marketing and Advertising Services
4th row	Education Services
5th row	Retail and Consumer Goods

Value	Count	Frequency (%)
services	22871	24.0%
and	13439	14.1%
education	5737	6.0%
entertainment	3880	4.1%
financial	3513	3.7%
healthcare	3102	3.3%
wellness	3068	3.2%
media	2991	3.1%
technology	2423	2.5%
information	2414	2.5%
Other values (66)	31718	33.3%

Most occurring characters

Value	Count	Frequency (%)
e	102383	12.5%
n	69895	8.6%
i	67596	8.3%
a	62621	7.7%
	61110	7.5%
r	49646	6.1%
c	47096	5.8%
s	44979	5.5%
t	44093	5.4%
o	32603	4.0%
Other values (29)	234251	28.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	816273	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	102383	12.5%
n	69895	8.6%
i	67596	8.3%
a	62621	7.7%
	61110	7.5%
r	49646	6.1%
c	47096	5.8%
s	44979	5.5%
t	44093	5.4%
o	32603	4.0%
Other values (29)	234251	28.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	816273	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	102383	12.5%
n	69895	8.6%
i	67596	8.3%
a	62621	7.7%
	61110	7.5%
r	49646	6.1%
c	47096	5.8%
s	44979	5.5%
t	44093	5.4%
o	32603	4.0%
Other values (29)	234251	28.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	816273	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	102383	12.5%
n	69895	8.6%
i	67596	8.3%
a	62621	7.7%
	61110	7.5%
r	49646	6.1%
c	47096	5.8%
s	44979	5.5%
t	44093	5.4%
o	32603	4.0%
Other values (29)	234251	28.7%

RICS_K400
Text

Missing

Distinct	395
Distinct (%)	1.2%
Missing	5020
Missing (%)	12.9%
Memory size	305.3 KiB

Length

Max length	58
Median length	51
Mean length	30.31504435
Min length	6

Characters and Unicode

Total characters	1032106
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	< 0.1%

Sample

1st row	Enterprise Software and IT Services
2nd row	Media and Entertainment
3rd row	Marketing and Advertising Services
4th row	Educational Institutions
5th row	Retail and Consumer Goods

Value	Count	Frequency (%)
and	25701	20.3%
services	13524	10.7%
research	4628	3.7%
universities	4283	3.4%
media	2669	2.1%
management	2365	1.9%
financial	2096	1.7%
development	1945	1.5%
education	1899	1.5%
marketing	1893	1.5%
Other values (320)	65467	51.8%

Most occurring characters

Value	Count	Frequency (%)
e	114113	11.1%
n	94062	9.1%
	92424	9.0%
a	86694	8.4%
i	86096	8.3%
s	64038	6.2%
t	59517	5.8%
r	55939	5.4%
c	45073	4.4%
d	36171	3.5%
Other values (40)	297979	28.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1032106	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	114113	11.1%
n	94062	9.1%
	92424	9.0%
a	86694	8.4%
i	86096	8.3%
s	64038	6.2%
t	59517	5.8%
r	55939	5.4%
c	45073	4.4%
d	36171	3.5%
Other values (40)	297979	28.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1032106	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	114113	11.1%
n	94062	9.1%
	92424	9.0%
a	86694	8.4%
i	86096	8.3%
s	64038	6.2%
t	59517	5.8%
r	55939	5.4%
c	45073	4.4%
d	36171	3.5%
Other values (40)	297979	28.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1032106	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	114113	11.1%
n	94062	9.1%
	92424	9.0%
a	86694	8.4%
i	86096	8.3%
s	64038	6.2%
t	59517	5.8%
r	55939	5.4%
c	45073	4.4%
d	36171	3.5%
Other values (40)	297979	28.9%

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks